Quants are in the business of making helpful assumptions around modelling the characteristics of an asset. But when it comes to interest rates, many of those simplifying conventions tend to break down ...

The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...

The biopharma industry has been notoriously cautious and slow to adopt new technologies, not least because it is a strictly regulated space and the sector has built up long-standing, well-established ...

Legal analytics refers to the use of data-driven insights and analytical techniques to improve decision-making and strategic planning within the legal industry. By analysing vast amounts of data from ...

Software company Machine Works has announced the release of Machine Works 8.7, introducing significant improvements to its simulation and modelling capabilities. The highlight of the release is the ...

In this Asia Risk webinar, experts in artificial intelligence (AI) and machine learning examined the growing applications being seen in the field and their merit in credit risk modelling Yoshizawa ...

Navid Constantinou receives funding from the Australian Research Council. From movie suggestions to self-driving vehicles, machine learning has revolutionised modern life. Experts are now using it to ...

Currently offered across four of our MSc programmes, the Data Science stream prepares engineers to lead in an increasingly data-driven world. From statistical modelling and machine learning to data ...